Introduction to Red Hat OpenShift AI provides students with the basics of using Red Hat OpenShift AI for their AI/ML workloads. This course helps students build core skills such as describing the Red Hat OpenShift AI architecture, and organizing, executing and testing AI/ML code through hands-on experience. These skills can be applied in all versions of Red Hat OpenShift AI.
Course objectives:
Identify the main features of Red Hat OpenShift AI and describe the architecture and components of Red Hat AI.
Organize code and configuration by using data science projects, workbenches, and data connections.
Use Jupyter notebooks to execute and test code interactively.
Das ist alles enthalten
3 Videos3 Lektüren
Infos zu Modulinhalt anzeigen
3 Videos•Insgesamt 24 Minuten
Course Introduction•1 Minute
Introduction to Red Hat OpenShift AI•12 Minuten
Architecture•11 Minuten
3 Lektüren•Insgesamt 30 Minuten
Course Layout•10 Minuten
Introduction to Red Hat OpenShift AI•10 Minuten
Architecture•10 Minuten
Data Science Projects
Modul 2•2 Stunden abzuschließen
Moduldetails
Das ist alles enthalten
6 Videos4 Lektüren
Infos zu Modulinhalt anzeigen
6 Videos•Insgesamt 50 Minuten
Data Science Projects•6 Minuten
Sample Exercise: Data Science Projects•4 Minuten
Workbenches•17 Minuten
Sample Exercise: Workbenches•7 Minuten
Data Connections•9 Minuten
Sample Exercise: Data Connections•8 Minuten
4 Lektüren•Insgesamt 40 Minuten
Data Science Projects•10 Minuten
Sample Exercise Context•10 Minuten
Workbenches•10 Minuten
Data Connections•10 Minuten
Jupyter Notebooks
Modul 3•1 Stunde abzuschließen
Moduldetails
Das ist alles enthalten
4 Videos2 Lektüren
Infos zu Modulinhalt anzeigen
4 Videos•Insgesamt 59 Minuten
Introduction to Jupyter Notebooks•22 Minuten
Sample Exercise: Introduction to Jupyter Notebooks•7 Minuten
Collaboration with Jupyter Notebooks•25 Minuten
Sample Exercise: Collaboration with Jupyter Notebooks•6 Minuten
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Is financial aid available?
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